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AI spending in customer service ops jumped 38% in 2026 while overall service budgets grew just 2%, according to Gartner, and Deloitte Digital found that AI-centric contact centers are 85% more profitable than low-maturity peers. Brinks Home cut agent transfer rates from 30% to below 10% and turnover from 150% to 22% after consolidating from 12 agent tools to two. Gartner also reports that 87% of customers say companies using generative AI for service must still offer a path to a human agent, and only 27% would try a chatbot again after a bad experience.
What this means for your business
The customer experience budget is quietly becoming an AI budget, and the brands furthest along are winning on both profit and satisfaction scores. The dividing line isn’t ambition, it’s integration. Deloitte found 72% of laggard contact centers cite technology integration as their top barrier, ahead of legacy systems and compliance. If your current stack keeps voice, chat, CRM, and workforce management in separate silos, you’re not competing on the same terms as AI-centric operations, regardless of how much you spend on individual tools.
The Brinks Home case is the clearest proof of the consolidation argument. Veronica Moturi’s team stopped optimizing for average handle time and started measuring first call resolution, defined tightly as no callback within seven days. That single scorecard shift, paired with reducing agent tooling from 12 systems to two, moved net promoter score from negative territory to 55. The lesson isn’t that AHT is useless; Brinks still tracks it for forecasting. The lesson is that efficiency metrics divorced from resolution quality tell you how fast you’re failing, not how well you’re serving.
Cuyana’s playbook adds a useful constraint. Director Tyler Gardner spent months documenting every workflow before activating AI-assisted support, which now resolves 40% to 45% of tier-one tickets at first contact. That sequencing matters because AI trained on undocumented or inconsistent processes inherits the inconsistency. The 87% of customers demanding human access as a condition of AI deployment aren’t irrational; they’ve been burned by bots that couldn’t escalate. The brands that will hold customer trust through the automation wave are the ones where the handoff from bot to human is invisible, not the ones where it’s a dead end. That’s the renewal or platform decision already on your table, not a future consideration.
Concept deep-dive: First Call Resolution
First Call Resolution, or FCR, measures how often a customer’s issue is fully resolved in a single interaction without a follow-up call, transfer, or callback. It exists because speed metrics like average handle time create pressure to end calls quickly, which can mask unresolved problems that simply resurface later. Think of FCR as the quality check that keeps efficiency from becoming a vanity metric. High FCR scores correlate directly with customer satisfaction and lower operational cost, since every repeat contact is a failure both the customer and the center absorb twice.
Based on reporting from What Is a Call Center? Types, Tech and Metrics for 2026, originally published 2026-09-25 11:25:00.
